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ACL
2008
15 years 7 months ago
Distributed Word Clustering for Large Scale Class-Based Language Modeling in Machine Translation
In statistical language modeling, one technique to reduce the problematic effects of data sparsity is to partition the vocabulary into equivalence classes. In this paper we invest...
Jakob Uszkoreit, Thorsten Brants
BILDMED
2008
123views Algorithms» more  BILDMED 2008»
15 years 7 months ago
Flow Quantification from 2D Phase Contrast MRI in Renal Arteries Using Clustering
Abstract. We present an approach based on clustering to segment renal arteries from 2D PC Cine MR images to measure blood velocity and flow. Such information are important in gradi...
Frank Zöllner, Jan Ankar Monnsen, Arvid Lunde...
COLING
2008
15 years 7 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport
IJDMB
2008
117views more  IJDMB 2008»
15 years 5 months ago
Scoring and summarising gene product clusters using the Gene Ontology
: We propose an approach for quantifying the biological relatedness between gene products, based on their properties, and measure their similarities using exclusively statistical N...
Spiridon C. Denaxas, Christos Tjortjis
TKDE
2008
121views more  TKDE 2008»
15 years 5 months ago
On Modularity Clustering
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...